\begin{table}[H]
     \caption{Results are Robust to a Difference of Means Specification}
     \label{tab:dom}  
     \begin{center}
     \begin{adjustbox}{max width=1.25\textwidth}
     \begin{tabular}{l*{9}{c}}
     \toprule %%%%%%%%%%%%%%%%%%%%%%%%%
     & \multicolumn{3}{c}{Minimum Wage}	  & \multicolumn{3}{c}{Corporate Tax} & \multicolumn{3}{c}{Trans-Pacific Partnership}  \\
     &  Outcome beliefs &  Idealistic preference &  Support  &  Outcome beliefs &  Idealistic preference &  Support  &  Outcome beliefs &  Idealistic preference &  Support \\
     \midrule %%%%%%%%%%%%%%%%%%%%%%%%% 
Prediction increase  &  0.43 $^{*}$  &  -0.01   &  -0.10   &  0.66 $^{**}$  &  -0.10   &  0.22 $^{**}$  &  0.16 $^{***}$  &  -0.03   &  0.30 $^{***}$  \\ 
  & (0.21) & (0.07) & (0.07) & (0.22) & (0.07) & (0.08) & (0.03) & (0.07) & (0.06) \\[.25cm] 
 Prediction spread  &  0.33   &  0.05   &  -0.08   &  0.08   &  -0.14   &  -0.00   &  0.03   &  -0.04   &  0.08   \\ 
  & (0.23) & (0.08) & (0.08) & (0.24) & (0.08) & (0.08) & (0.03) & (0.07) & (0.07) \\[.25cm] 
 Partisan sender  &  0.51   &  0.01   &  -0.02   &  0.01   &  -0.21 $^{*}$  &  -0.00   &  -0.03   &  0.02   &  0.00   \\ 
  & (0.30) & (0.11) & (0.10) & (0.31) & (0.10) & (0.11) & (0.05) & (0.10) & (0.10) \\[.25cm] 
 Prediction increase $\times$ partisan  &  -0.21   &  -0.07   &  0.01   &  0.02   &  0.01   &  0.02   &  0.04   &  0.11   &  0.21 $^{*}$  \\ 
  & (0.30) & (0.10) & (0.11) & (0.30) & (0.10) & (0.11) & (0.05) & (0.09) & (0.09) \\[.25cm] 
 Prediction spread $\times$ partisan  &  -0.61   &  0.05   &  -0.02   &  -0.04   &  0.18   &  0.05   &  -0.04   &  -0.09   &  -0.14   \\ 
  & (0.32) & (0.11) & (0.11) & (0.34) & (0.11) & (0.12) & (0.06) & (0.11) & (0.10) \\[.25cm] 
 \midrule Observations &  4994  &  5452  &  5434  &  4960  &  5453  &  5436  &  5074  &  5451  &  5435  \\ 
 \bottomrule %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    \end{tabular}
    \end{adjustbox}
    \caption*{\footnotesize{\textbf{Note:} All models are estimated using least squares with robust standard errors. \emph{Prediction increase} is a dummy indicating whether \emph{prediction center} is greater than zero. The reference category are predictions were \emph{prediction center} is either 0 or decreasing. \emph{Prediction spread} is a dummy indicating whether there are conflicting predictions. Changing the reference category to be predictions when \emph{prediction center} = 0 and adding the variable \emph{prediction decrease} produces the same results.    \\\hspace{\textwidth}
    $ ^* p <0.05, ^{**} p<0.01, ^{***} p<0.001$}}
    \end{center}
    \end{table}